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» Accelerating Large Data Analysis by Exploiting Regularities
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ICIP
2010
IEEE
15 years 3 months ago
Image analysis with regularized Laplacian eigenmaps
Many classes of image data span a low dimensional nonlinear space embedded in the natural high dimensional image space. We adopt and generalize a recently proposed dimensionality ...
Frank Tompkins, Patrick J. Wolfe
INFOCOM
2009
IEEE
16 years 1 days ago
On the Exploitation of CDF Based Wireless Scheduling
—Channel-aware scheduling strategies - such as the CDF Scheduler (CS) algorithm for the CDMA/HDR systems provide an effective mechanism for utilizing the channel data rate for im...
Udi Ben-Porat, Anat Bremler-Barr, Hanoch Levy

Publication
170views
15 years 4 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
PRL
2010
188views more  PRL 2010»
15 years 3 months ago
Sparsity preserving discriminant analysis for single training image face recognition
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
Lishan Qiao, Songcan Chen, Xiaoyang Tan
ASPDAC
2008
ACM
92views Hardware» more  ASPDAC 2008»
15 years 7 months ago
Design space exploration for a coarse grain accelerator
- In the design process of a reconfigurable accelerator employing in an embedded system, multitude parameters may result in remarkable complexity and a large design space. Design s...
Farhad Mehdipour, Hamid Noori, Morteza Saheb Zaman...